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Data Science Manager
2 months ago
Blend360 is a leading provider of data-driven solutions for businesses. Our team of experts works closely with clients to understand their unique challenges and develop tailored strategies to drive growth and improvement.
Job DescriptionWe are seeking a highly skilled Data Science Director to join our team. As a key member of our leadership team, you will be responsible for leading our data science efforts and driving business growth through data-driven insights.
Key Responsibilities- Lead a team of data scientists to design, monitor, and evaluate marketing experiments intended to validate MMM assumptions.
- Develop and implement optimization models to help clients improve decision-making processes, enhance efficiency, and drive business growth.
- Analyze team KPIs, develop solutions, and alternative methods to achieve goals.
- Build positive and productive relationships with clients to drive business growth.
- Work as a strategic partner with leadership teams to support client needs.
- Develop project plans, including milestones, dates, owners, and risks, and contingency plans.
- Create and maintain efficient data pipelines, often within clients' architecture.
- Assemble large, complex data sets from client and external sources that meet functional business requirements.
- Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
- Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making.
- Train, validate, and cross-validate predictive models and machine learning algorithms using state-of-the-art Data Science techniques and tools.
- MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
- Expert in experimentation and measurement in marketing, with knowledge of how to run experiments in different marketing channels.
- 3+ years of professional experience in Advanced Data Science, including predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, and optimization.
- Experience in the Pharma domain.
- Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS).
- Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches.
- Experience with SQL and relational databases, query authoring and tuning, as well as working familiarity with a variety of databases, including Hadoop/Hive.
- Experience with Spark and data-frames in PySpark or Scala.
- Strong problem-solving skills, with the ability to pivot complex data to answer business questions.
- Comfortable with cloud-based platforms (AWS, Azure, Google).
- Experience with Google Analytics, Adobe Analytics, Optimizely a plus.